Model Context Protocol (MCP) Server for YouTube

Model Context Protocol (MCP) Server for YouTube

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This MCP server allows host applications to search YouTube videos and retrieve detailed information about specific videos, facilitating seamless integration for users.
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Apr 18 2025
Model Context Protocol (MCP) Server for YouTube
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What is Model Context Protocol (MCP) Server for YouTube?

This MCP server acts as a bridge between host applications and YouTube, providing tools to search for videos, get detailed video data, and explore related content. It leverages the YouTube Data API v3 to fetch real-time data for features like video search, detailed content retrieval, playlist management, and trending videos. By integrating this server, applications can offer enhanced YouTube functionalities such as voice commands, natural language queries, and quick access to multimedia content, making it ideal for productivity tools, media applications, and automation setups.

Who will use Model Context Protocol (MCP) Server for YouTube?

  • Developers integrating YouTube features into apps
  • Media automation tools
  • Content creators seeking data insights
  • Research projects involving YouTube data

How to use the Model Context Protocol (MCP) Server for YouTube?

  • Clone the repository from GitHub
  • Run the setup script (`bash setup.sh`) after installing dependencies
  • Configure your YouTube Data API v3 key in the `.env` file
  • Configure your MCP host application with the wrapper script path
  • Start your host application and use natural language commands like 'Search YouTube for...'

Model Context Protocol (MCP) Server for YouTube's Core Features & Benefits

The Core Features
  • search_videos(query: str, max_results: int)
  • get_video_details(video_id: str)
  • get_channel_details(channel_id: str)
  • list_channel_videos(channel_id: str, max_results: int)
  • search_playlists(query: str, max_results: int)
  • get_playlist_items(playlist_id: str, max_results: int)
  • get_related_videos(video_id: str, max_results: int)
  • get_popular_videos(region_code: str, max_results: int)
The Benefits
  • Enables seamless YouTube integration
  • Supports natural language commands
  • Provides real-time video and playlist data
  • Enhances productivity with quick content access

Model Context Protocol (MCP) Server for YouTube's Main Use Cases & Applications

  • Creating custom YouTube search assistants
  • Automating video content retrieval for research
  • Embedding YouTube functionalities in media apps
  • Building voice-controlled YouTube search tools

FAQs of Model Context Protocol (MCP) Server for YouTube

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